
Curriculum Vitae
Version anglaise préliminaire - Une version de cette page en français sera bientôt disponible
Brief Resume
A more detailed version can be downloaded here (FR)
Work Experience
Since Aug. 2024
Postdoctoral Researcher, Université du Québec à Montréal
Project: Interpretability and explainability of black-box models
Supervisors: Arthur Charpentier and Marie-Pier Côté
Mar. 2021 - Mar. 2024
(CIFRE) Ph.D. Candidate, EDF R&D
Project: Interpretability of machine learning models for critical systems
Supervisors: Nicolas Bousquet, Bertrand Iooss, Jean-Michel Loubes, Fabrice Gamboa
Dec. 2020 - Mars. 2021
Research assistant, EDF R&D
Project: Cooperative games for relative importance quantification
Supervisors: Bertrand Iooss, Vincent Chabridon
Mar. 2020 - Sept. 2020
Research intern, EDF R&D
Internship thesis: Shapley effects for reliability oriented sensitivity analysis
Supervisors: Bertrand Iooss, Vincent Chabridon
Jun. 2019 - Aug. 2019
Research intern, MAIF Data Lab
Project: Word embeddings and sentiment analysis. Contributions to Melusine.
Supervisors: Frédéric De Javel (MAIF), Hugo Perrier, Benoît Lebreton (Quantmetry)
Jul. 2018 - Aug. 2018
Research intern, Inserm CIC 1402
Project: Automatic search and statistical analysis of medical records.
Supervisors: Pierre Jean Saulnier, Elise Gand
Mar. 2017 - May 2017
Research intern, Inter Mutuelles Assistance
Project: Metadata of data streams between sources and automated reporting
Supervisors: Jean-Philippe Genet, Louis-Vincent Potura
Education
2021-2024
Ph.D. in Applied Mathematics, Université de Toulouse
Supervisors: Jean-Michel Loubes, Fabrice Gamboa, Nicolas Bousquet, Bertrand Iooss
2017-2020
Ms.C. in Data Science and Advanced Statistics, ENSAI
Ms.C. in Mathematics (Statistics), Université de Rennes
2015-2017
Equiv. AAS, Statistics and Business Intelligence, Université de Poitiers
Teaching
Teaching Assistant
2022-2023 - Statistical inference with Salima El Kolei at ENSAI
Main evaluator
2024 - Graduate student statistics projects at ENSAI
Invited Lectures
2022 - Journée thématiques MEXICO with Bertrand Iooss
Supervision
2025, Research intern, Université du Québec à Montréal with Arthur Charpentier
2025, Ms.C. student, Université Laval with Marie-Pier Côté
2021, Research intern at EDF R&D with Vincent Chabridon and Bertrand Iooss
Research
Links, full-texts, preprints, abstracts, slides, posters, video transcripts and BiBTeX entries can be found in the dedicated page
Talks
2025
Robustness assessment of black-box models to feature perturbations, Workshop on Probability and Machine Learning, Guanajuato, Gto, México (Feb.)
2024
Interprétabilité des modèles boîtes-noires avec variables dépendantes, Séminaire STATQAM, Montréal, QC, Canada (Oct.)
Hoeffding's functional decomposition for dependent inputs, CRM Conference on New Developments in Probability, Montréal, QC, Canada (Sept.)
Sobol' indices, Shapley effects, and a path towards handling dependent inputs, Sensitivity Analysis Discord Group, Online (Sept.)
Generalized Hoeffding decomposition and the linear nature of non-linearities, CRM-ISM Montréal Probability Seminar, Montréal, QC, Canada (Sept.)
Cooperative game theory and importance quantification, ENBIS Spring Meeting, Dortmund, Germany (May)
Avancées en décomposition de modèles boîtes-noires, Workshop SINCLAIR, Saclay, France (Mar.)
Hoeffding decomposition revisited, SIAM Conference on Uncertainty Quantification, Trieste, Italy (Mar.)
Generalized Hoeffding decomposition and the linear nature of non-linearity, UQSay Seminar #69, Online (Feb.)
Robustesse et Interprétabilité des modèles boîtes-noires, Nexialog Consulting Webinar, Online (Jan.)
2023
Cooperative game theory and importance quantification, 23rd European Young Statisticians Meeting of the Bernoulli Society, Ljubljana, Slovenia (Sept.)
Proportional marginal effects to quantify importance, Forum MobiliT.AI 2023,Toulouse, France (May)
Coalitional decomposition of quantities of interest, 2023 Annual Meeting of MASCOT-NUM Research Group, Le Croisic, France (Apr.)
Interpretability of black-box models, Séminaire Quantact, Montréal, QC, Canada (Aug.)
Black-box model decomposition with dependent random inputs, École Thématique sur les Incertitudes en Calcul Scientifique, Cap Ferret, France (Oct.)
2022
Interpretability of black-box models, Vendredis Science des Données de la MAIF, Niort, France (Dec.)
Robustness assessment of black-box models, École Thématique sur les Incertitudes en Calcul Scientifique, Golfe de Lozari, France (Oct.)
Robustness assessment of black-box models, SINCLAIR Summer Workshop, Saclay, France (Jun.)
Robustness assessment of black-box models, 53èmes Journées de Statistiques de la SFdS, Lyon, France (Jun.)
Robustness assessment of black-box models, 2022 Annual Meeting of MASCOT-NUM Research Group, Clermont-Ferrand, France (Jun.)
Shapley effects for reliability-oriented sensitivity analysis with correlated inputs, 10th International Conference on SAMO, Tallahassee, FL, USA (Mar.)
2021
Mesures d'importance relative par décompositions de performance, 52èmes Journées de Statistiques de la SFdS, Nice, France (Jun.)
Cooperative Game Theory and Global Sensitivity Analysis, École Thématique sur les Incertitudes en Calcul Scientifique, Erdeven, France (Sep.)
Journal Articles
Hoeffding decomposition of functions of random dependent variables
M. Il Idrissi, N. Bousquet, F. Gamboa, B. Iooss, and J-M. Loubes - 2025, Journal of Multivariate Analysis
Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models
M. Il Idrissi, N. Bousquet, F. Gamboa, B. Iooss, and J-M. Loubes - 2024, Electronic Journal of Statistics
Proportional marginal effects for global sensitivity analysis
M. Herin, M. Il Idrissi, V. Chabridon, and B. Iooss - 2024, SIAM/ASA Journal on Uncertainty Quantification
On the coalitional decomposition of parameters of interest
M. Il Idrissi, N. Bousquet, F. Gamboa, B. Iooss and J-M. Loubes - 2023, Comptes Rendus. Mathématique
Developments and applications of Shapley effects to reliability-oriented sensitivity analysis with correlated inputs
M. Il Idrissi, V. Chabridon and B. Iooss - 2021, Environmental Modelling & Software
Awards and scholarships
Distinguished Postdoctoral Fellowship (09/2025-09/2027)
Awarded by the Canadian Statistical Sciences Institute (CANSSI), funded by the Natural Sciences and Engineering Research Council (NSERC) of Canada
CIFRE Doctoral Funding (03/2021-03/2024)
Collaboration between the Mathematical Institute of Toulouse (IMT) and Électricité de France (EDF), funded by EDF and Association Nationale de la Recherche Technique (ANRT)
Service
Peer-review
Journals: Computers & Operations Research - Technometrics - Statistical Science
Conferences: Journées de Statistique de la SFdS
Books: Interpreting Machine Learning Models With SHAP - Basics and Trends in Sensitivity Analysis
Evaluation
Grants: External Reviewer, NSERC Discovery Grants (2025)
Responsabilities
PhD Student Representative of the PRISME Department at EDF R&D
Event organization
Conferences: International Organizing Committee, 24th European Young Statisticians Meeting - Session organizer, 53èmes Journées de Statistiques de la SFdS
Seminars: Organizing Committee, Séminaire des étudiants en statistique et actuariat de l’UQAM - Creation, Organization and Coordination, Séminaire annuel des stagiaires du département PRISME d’EDF R&D
Scientific communities
Associate research member, Observatoire international sur les impacts sociétaux de l’IA et du numérique (Obvia), 2025-2027
Member, Statistical Society of Canada, 2025-
Member, Association des Statisticiennes et Statisticiens du Québec, 2025-
Member, Association Française pour l’Intelligence Artificielle, 2024-2025
Member, Société Française de Statistique, 2021-2025